Good Afternoon,

Management and Storage of Scientific Data
Harvard Pre-Proposal Deadline: April 24, 2022

FAS/SEAS/OSP Pre-Application Deadline: May 2, 2022

Sponsor Pre-Application Deadline: May 5, 2022

FAS/SEAS/OSP Full Proposal Deadline: June 6, 2022

Sponsor Full Proposal Deadline: June 13, 2022

Award Amount: Up to $300,000/year for three years

The DOE SC program in Advanced Scientific Computing Research (ASCR) has announced its interest in basic research in computer science exploring innovative approaches to the management and storage of scientific data. Priority research directions are:

1. High-productivity interfaces for accessing scientific data efficiently – Innovative interfaces to data-management capabilities allowing for flexible, high-performance access to large data sets, potentially federated across different kinds of memory, edge devices, and repositories, capturing relevant usage statistics, provenance, and other metadata.
2. Understanding the behavior of complex data management systems in DOE science – Understanding how the behavior of users, application and system algorithms, and hardware can be combined and exploited to improve performance and resilience of scientific-data-management systems, recognizing that the relevant behaviors can change over time.
3. Rich metadata and provenance collection, management, search, and access – Innovative methods for collecting and managing provenance and other metadata to support FAIR principles, resilience, and scientific reproducibility and discovery.
4. Reinventing data services for new applications, devices, and architectures – Innovative methods to design scientific-data-management services for state-of-the-art storage and networking devices, including those providing computational capabilities.

Each pre-application and application must address, as its primary focus, one or more of these priority research directions.

Applicant institutions are limited to no more than two pre-applications or applications as the lead institution in a multi-institution team and no more than one pre-application or application for each PI. In order to secure the Harvard nomination, interested applicants must submit a brief pre-proposal to the Office of the Vice provost for research online at https://bit.ly/3jQBaC6 by April 24, 2022. The PI on a pre-application or application may be listed as a senior or key personnel on separate submissions without limitation.

EXPRESS: 2022 Exploratory Research for Extreme Scale Science

Harvard Pre-Proposal Deadline: April 27, 2022

FAS/SEAS/OSP Pre-Application Deadline: May 9, 2022

Sponsor Pre-Application Deadline: May 12, 2022

FAS/SEAS/OSP Full Proposal Deadline: June 14, 2022

Sponsor Full Proposal Deadline: June 23, 2022

Award Amount: $200,000/year for two years

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. Extreme-scale science recognizes that disruptive technology changes are occurring across science applications, algorithms, computer architectures and ecosystems. Recent reports point to emerging trends and advances in high-end computing, massive datasets, scientific machine learning, artificial intelligence (AI) on increasingly heterogeneous architectures, including neuromorphic and quantum systems. Significant innovation will be required in the development of effective paradigms and approaches for realizing the full potential of scientific computing from emerging technologies. Proposed research should not focus strictly on a specific science use case, but rather on creating the body of knowledge and understanding that will inform future advances in extreme-scale science. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches.

Exploratory Research for Scientific Computing (EXPRESS) opportunities exist for the following research topics:

1. Federated Scientific Machine Learning
2. Differentiable Programming
3. Explainable Artificial Intelligence
4. Parallel Discrete Event Simulation
5. Quantum Algorithms and Mathematical Methods
6. Quantum Computing at the Edge

Applicant institutions are limited to no more than six pre-applications or applications as the lead institution in a multi-institution team and no more than one pre-application or application for each PI. In order to secure the Harvard nomination, interested applicants must submit a brief pre-proposal to the Office of the Vice provost for research online at https://bit.ly/3jNrfNI by April 27, 2022. The PI on a pre-application or application may be listed as a senior or key personnel on separate submissions without limitation.

Randomized Algorithms for Combinatorial Scientific Computing

Harvard Pre-Proposal Deadline: May 1, 2022

FAS/SEAS/OSP Pre-Application Deadline: May 16, 2022

Sponsor Pre-Application Deadline: May 19, 2022

FAS/SEAS/OSP Full Proposal Deadline: June 23, 2022

Sponsor Full Proposal Deadline: June 30, 2022

Award Amount: Up to $800,000/year for three years

The DOE SC program in Advanced Scientific Computing Research (ASCR) has announced its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for the challenging discrete and combinatorial problems that arise in the Department’s energy, environmental, and national security mission areas. The overarching goal of randomized algorithms research, under this Funding Opportunity Announcement, is to find scalable ways to sample, organize, search, or analyze very large data streams, discrete structures, and combinatorial problems relevant to DOE mission areas. The five research topics of interest focus on algorithms for discrete and combinatorial problems:

1. Randomized algorithms for discrete problems that cannot be modeled as networks
2. Randomized algorithms for solving well-defined problems on networks
3. Universal sketching and sampling on discrete data
4. Randomized algorithms for combinatorial and discrete optimization
5. Randomized algorithms for machine learning on networks

Applications submitted in response to this FOA must substantively address one (or more) of the above five research topics and the following three facets of randomized algorithms for discrete and combinatorial scientific computing:

1. Impact: What are the most significant or compelling scientific or technical challenges that are driving the development of the randomized algorithms approach?
2. Methodology: In what ways does the randomized approach provide a new and/or significant enabling technology for scientific computing? What are the potential merits and limitations of the randomized approach, particularly with respect to current and emerging high-performance computing architectures and ecosystems?
3. Validation: What is a relevant set of non-trivial metrics for assessing the accuracy and effectiveness of the randomized approaches?

Applicant institutions are limited to no more than two pre-applications or applications as the lead institution in a multi-institution team and no more than one pre-application or application for each PI. In order to secure the Harvard nomination, interested applicants must submit a brief pre-proposal to the Office of the Vice provost for research online at https://bit.ly/3vsumjA by May 1, 2022. The PI on a pre-application or application may be listed as a senior or key personnel on separate submissions without limitation.

Mathematical Multifaceted Integrated Capability Centers (MMICCs)

Harvard Pre-Proposal Deadline: May 2, 2022

FAS/SEAS/OSP Pre-Application Deadline: May 12, 2022

Sponsor Pre-Application Deadline: May 17, 2022

FAS/SEAS/OSP Full Proposal Deadline: June 21, 2022

Sponsor Full Proposal Deadline: June 28, 2022

Award Amount: Up to $1,200,000/year for five years

The DOE SC program in Advanced Scientific Computing Research (ASCR) invites applications for basic research that address fundamental challenges within DOE’s mission areas of energy (as detailed by the Energy Earthshots Initiative), environment, and security, and from a perspective that requires new integrated efforts across multiple mathematical, statistical, and computational disciplines. This FOA invites applications for new Mathematical Multifaceted Integrated Capability Centers (MMICCs) to enable greatly enhanced scientific discovery, design, optimization or decision-support capabilities for the increasingly complex systems, processes, and problems that arise in science and energy research. Proposed research tightly focused on the solution of a particular science or engineering problem are outside the scope of this solicitation.

These MMICCs will enable applied mathematics researchers to work together in large, collaborative teams to develop the mathematics needed to address significant scientific computing research challenges. The MMICCs allow researchers to take a broader view of the problem as a whole, and devise solution strategies that attack the problem in its entirety by building fundamental, multidisciplinary mathematical capabilities and tools cognizant of both existing and emerging computing paradigms. The MMICCs teams will have the flexibility and technical expertise to consider all aspects of the problem-solving process simultaneously ⎼ ranging from the mathematical formulation to the development, analysis, integration of appropriate models and methods, and demonstration of results and capabilities.

Applicant institutions are limited to no more than two pre-applications or applications as the lead institution in a multi-institution team and no more than one pre-application or application for each PI. In order to secure the Harvard nomination, interested applicants must submit a brief pre-proposal to the Office of the Vice provost for research online at https://bit.ly/3MazxLu by May 2, 2022. The PI on a pre-application or application may be listed as a senior or key personnel on separate submissions without limitation.